The future of maritime shipping will be driven by machine learning

Product / SEACOR Marine

SEACOR Marine is known for pioneering many firsts in the world of marine transportation. When they saw an opportunity to set a new industry standard for the management of shipping logistics, they went for it.

SEACOR Marine is a worldwide leader in marine transportation. One aspect of their business is focused on the logistics surrounding everything that happens when a ship comes to port—from tugboat operations to vessel management. It’s a very involved process that requires proper coordination and precise timing. The folks at SEACOR Marine know how difficult this can be. Even though operators have access to an incredible amount of data regarding all vessels’ movements throughout a given port, there are few solutions that can effectively organize and deliver that data in ways that aid in coordination efforts. SEACOR Marine decided to pioneer a solution of their own. That’s when they partnered with Two Bulls.

A platform that drives efficiency through the transparent presentation of relevant data.

We built the SEACOR Port Call Tool. The platform has a custom built algorithm, a robust machine learning infrastructure and an efficient interface. It relies on the Automatic Identification System (AIS), an open source, near real-time data feed that uses ship transceivers to track marine traffic. By using AIS data to create a precise timeline of each ship’s location throughout its time in port—and by presenting that data with custom mapping and iconography—ship operators can see how their operations compare to the historical averages of other ships in the same port. In this way, the Port Call Tool provides insight into blind spots in the maritime towing space that were previously unseen, exposing new opportunities to develop more efficient and productive logistical operations.


Results

Proprietary algorithms and user research will power SEACOR Marine’s long-term strategy. ⚓️

The Port Call Tool beta release arrived in the Fall of 2020. It was met with great enthusiasm and high levels of engagement. By providing reliable data through an easy-to-use platform, we’ve been able to establish trust with our end users. As the machine learning infrastructure has become more efficient over time, data from additional ports has been made available. With each new port, the algorithm gets even better at processing data and providing relevant insights that can move the shipping industry forward. 


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